Director, Data Science at PayPal

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, SQL, Excel, R, Python, Statistical Programming, Data Visualization, Financial Modeling, Business Case Development, Data Privacy, Data Security, Analytical Skills, Communication Skills, Leadership, Collaboration, Innovation

Industry

Software Development

Description

Develop and implement the overall data science strategy, aligning with corporate goals and objectives. Lead the design and execution of advanced data science projects to support strategic decision-making. Collaborate with executive leadership to identify and prioritize data-driven opportunities. Oversee the development and maintenance of data infrastructure, ensuring scalability and efficiency. Ensure compliance with data privacy and security regulations. Drive innovation in data science practices and tools, staying ahead of industry trends. Partner with Commercial, Product, Marketing, Finance, and cross-functional teams to inform, influence, support, and execute strategy and monetization decisions for the Consumer business. Identify key business levers, establish cause & effect, perform analyses, and communicate key findings to various stakeholders to facilitate data-driven decision making Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development Roll up your sleeves and work with large quantities of data using SQL and Excel, apply statistical programming languages like R or Python, and visualize content through executive-ready PowerPoint and/or other reporting tools Understand what matters most and prioritize ruthlessly Be comfortable with ambiguity and frequent context-switching in a fast-paced environment 10+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. 2 years of experience leading others Data-driven mindset with degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics, or Economics Fluent in SQL, Excel, and visualization tools such as Tableau or Looker; familiarity with a statistical programming language (e.g., R, Python) preferred Ability to work proactively and independently in a fast-paced environment and juggle competing priorities 12+ years of work experience in similar roles including 6+ years of people management experience, with high volume data environments in financial services, credit, insurance, banking, or internet services Intellectual curiosity and drive, decisiveness, and comfort with ambiguity and complexity. Ability to work effectively with multiple stakeholders and cross-functionally. Exceptional written and verbal communication skills to influence cross-functional teams

Responsibilities